This course explores the integration of data visualisation in urban environments, with a strong focus on generating 2D maps that condense multiple layers of information.
Syllabus
This course explores the integration of data visualization in urban environments, with a strong focus on generating 2D maps that condense multiple layers of information. The course will tackle vectorial data, used to represent precise boundaries of urban and natural elements, raster data, capable of embedding also nonspatial information as environmental aspects, and also focus on data provided by phone apps. Students will learn how to process raw and public data (e.g., GIS, demographic data) using Python and visualize this data using Rhino and Grasshopper.
At the course completion the students will be able to tackle autonomously a selected topic, gather the available data, process and visualize them in a pipeline that focuses on the integration of Python capabilities of data management and grasshopper possibilities of data visualization and editing of geometrical entities. Students will learn a series of approaches and routines in order to extract information starting from a raw data set.
Learning Objectives
At course completion the student will:
- Understand the Role of Data in Urban Visualization
- Use of Python for Data Processing
- Develop proficiency in Rhino and Grasshopper for data visualisation
- Use Open-Source Data for Urban and Environmental Visualization
- Create compelling Urban Visualisations (2D and 3D) Using Data
Faculty
Faculty Assistants
Projects from this course
Data Driven Emergency Response Planning in Kadıköy, Istanbul
Abstract:Emergency response planning is a vital aspect of urban resilience, requiring precise decisions on resource allocation and infrastructure placement. In our research, we explored how data-driven tools can optimize emergency response times using geospatial analysis and computational design methods. Focusing on Kadikoy district in Istanbul, we simulated ambulance routes from stations to emergencies and onwards … Read more
Data Driven Design: Populating & Visualizing Walls for GraphRAG
The work presented in this blog post is a study on how to with code and visual tools the creation and representation of the data this research group has been using for a main project in Research Studio. It explores the integration of data-driven design methods to support sustainable facade development and align with environmental … Read more
Green Enough? Assessing Barcelona’s Compliance with EEA Green Space Standards Per Capita Using Geospatial Analysis.
AbstractGreen spaces play a critical role in enhancing urban livability by improving air quality, reducing urban heat island effects, and promoting mental and physical well-being.This project evaluates the spatial distribution of green spaces in Barcelona and their compliance with the European Environment Agency (EEA) standard of 9 m² of green space per person. By overlaying … Read more